Scale AI Verified

Artificial Intelligence, Data Annotation, Machine Learning, Enterprise Software

Software Engineering Intern (Summer 2027)

Name: RiseMe
Availability: InStock

San Francisco, CAOnsiteInternshipJunior / Entry-levelPosted 2 months agoVisa sponsorship available

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Required skills

Summer 2027
Fall 2027
Spring 2028
EECS
Computer Engineering
Statistics
Python
Typescript
React
MongoDB

Nice to have

LLMs
evaluations
agentic systems
coursework
personal projects
Open source contributions

Role summary

Scale is seeking Software Engineering Interns for Summer 2027 to work on real projects with full-time engineers. Interns will contribute to AI system development, focusing on areas like data pipelines, evaluation infrastructure, agentic AI applications, and fraud detection. The role requires a graduation date in Fall 2027 or Spring 2028 with a relevant Bachelor's degree and prior internship experience. Familiarity with Python, Typescript, React, and/or MongoDB is required, along with experience processing large data volumes. Experience with LLMs is a plus. The internship is based in San Francisco.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.

Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens.

Example Projects

Build reinforcement learning and post-training data pipelines that power frontier model development

Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers

Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy

Ship tools that accelerate the growth of new qualified contributors on Scale's platform

Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted

Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale

Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy

Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks

Develop new AI infrastructure products to visualize, query, and explore Scale data

Requirements

A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)

Available for a Summer 2027 internship (May/June start dates) in San Francisco

Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating

Previous Computer Science/Software Engineering internship experience

Track record of shipping high-quality products and features

Experience building systems that process large volumes of data

Experience with Python, Typescript, React, and/or MongoDB

Nice to Have

Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects

Open source contributions or a portfolio of shipped side projects

How We Work

Our credos shape how we make decisions and work as a team:

Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve

Team Flow — ideas, energy, and support move freely across teams; optimize for the whole

Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage

Find the 20% — find the inputs that drive the outcomes and execute them completely

Write the Market — our research puts us at the frontier, and we bring our partners there first

Three Moves Ahead — consider the consequences of consequences, and plan accordingly

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Sample Scale AI interview questions

1
Build API integration to categorize job types using Scale AI
system designmedium
2
How would you factor in metadata and timestamps in the storage count?
technicalmedium
3
Reverse Nodes in k-Group Reverse nodes in k-group in a linked list. Input: head = [1,2,3,4,5], k = 3 Output: [3,2,1,4,5] Explanation: The first 3 elements are reversed, while the remaining 2 are left untouched since they don't form a complete group.
codingmedium
4
Clone an undirected graph.
codingmedium
5
Merge a New Interval Merge a new interval into a list of non-overlapping intervals. Input: intervals = [[1,2],[3,5],[6,7],[8,10],[12,16]], newInterval = [4,8] Output: [[1,2],[3,10],[12,16]] Explanation: The new interval overlaps with [3,5], [6,7], and [8,10], merging them all into the unified block [3,10].
codingmedium

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